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Additive White Gaussian Noise (awgn)

Improved preclassification non local-means (IPNLM) for filtering of grayscale images degraded with additive white Gaussian noise

Improved preclassification non local-means (IPNLM) for filtering of grayscale images degraded with additive white Gaussian noise

... Considering the literature survey, we assume that there are two ways to establish the window sizes; one is select the values proposed by previous authors or evaluate experimen- tally different sizes and choose the one ...

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Robust Parametric Modeling of Speech in Additive White Gaussian Noise

Robust Parametric Modeling of Speech in Additive White Gaussian Noise

... of additive white Gaussian noise (AWGN), a typical parameter compensation method involves using a minimal set of Yule-Walker equation evaluations and removing a noise variance estimate ...

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Cyclic Channel Coding Algorithm For Original And Received Voice Signal At 8 Khz Using Ber Performance Through Additive White Gaussian Noise Channel

Cyclic Channel Coding Algorithm For Original And Received Voice Signal At 8 Khz Using Ber Performance Through Additive White Gaussian Noise Channel

... using Additive White Gaussian Noise (AWGN) channel to perform the recorded original voice signal to be read, simulated, transmitted and ...background noise of the channel in addition to ...

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Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain

Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain

... the noise standard deviation. Noise occurs when scanning the drawn image for making the cartoon ...the noise to the extent of the problem and it helps cartoon related noise ...of noise ...

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OFDM PAPR REDUCTION USING LINEAR BLOCK CODES WITH ERROR CORRECTION IN ADDITIVE WHITE GAUSSIAN NOISE CHANNEL

OFDM PAPR REDUCTION USING LINEAR BLOCK CODES WITH ERROR CORRECTION IN ADDITIVE WHITE GAUSSIAN NOISE CHANNEL

... mitigate the effect of PAPR or rather somewhat reduce PAPR to certain mean value we used linear block codes. Linear Block Codes perform up to mark in case error detection and correction problems. If we can use this ...

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Simulation and Evaluation of Shrinkage Techniques for Image De-noising under Additive White Gaussian Noise (AWGN)

Simulation and Evaluation of Shrinkage Techniques for Image De-noising under Additive White Gaussian Noise (AWGN)

... of noise using an appropriate shrinkage threshold and at the end all treated channels recombined to get denoised ...under Additive White Gaussian ...

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The Performance of Fast Frequency Hopping System in Additive White Gaussian Noise (AWGN)

The Performance of Fast Frequency Hopping System in Additive White Gaussian Noise (AWGN)

... of white noise [9]. White noise has a flat power spectral density which covers all frequency components ...the white noise follows a guassian or normal guassian distribution ...

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A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels

A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels

... subblock noise symbols due to an additive noise on the propagation channel become uncorrelated Gaussian random variables with same variances for a wide range of additive noise ...

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Performance of Fuzzy Filter and Mean Filter for Removing Gaussian Noise

Performance of Fuzzy Filter and Mean Filter for Removing Gaussian Noise

... the output of image processing may be either an image or, a set of characteristics or parameters related to the image [3]. Linear filters generally blur sharp edges; destroy lines and other fine details present in the ...

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Types of noise (1) Gaussian Noise:-Additive noise is one of the most common problems in image processing. Even a high

Types of noise (1) Gaussian Noise:-Additive noise is one of the most common problems in image processing. Even a high

... Pepper Noise:-Salt and pepper noise is a form of noise typically seen on ...occurring white and black pixels. An effective noise reduction method for this type of noise involves ...

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Stochastic P bifurcation in a bistable Van der Pol oscillator with fractional time delay feedback under Gaussian white noise excitation

Stochastic P bifurcation in a bistable Van der Pol oscillator with fractional time delay feedback under Gaussian white noise excitation

... In recent years, researchers have analyzed the dynamic behavior of nonlinear multi- stable systems under different noise excitations and achieved fruitful results. For the dy- namic systems without time-delay, Wang ...

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Restoration of Astrophysical Images—The Case of Poisson Data with Additive Gaussian Noise

Restoration of Astrophysical Images—The Case of Poisson Data with Additive Gaussian Noise

... Poissonian noise due to low light intensity, then, a Gaussian white noise is added during the electronic read-out ...the noise process is, instabilities due to noise ...

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Detection of continuous-time quaternion signals in additive noise

Detection of continuous-time quaternion signals in additive noise

... quaternion Gaussian noise and a version of Pitcher’s Theorem is ...Wiener noise is studied and an extension of the Cameron-Martin formula is ...quaternion white Gaussian noise is ...

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Polarizabilities of Impurity Doped Quantum Dots under Pulsed Field: Role of Additive White Noise

Polarizabilities of Impurity Doped Quantum Dots under Pulsed Field: Role of Additive White Noise

... of noise on the linear and nonlinear polarizabili- ties of impurity doped QDs ...of Gaussian white noise in- troduced additively to the ...

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Estimation of Spectral Exponent Parameter of Process in Additive White Background Noise

Estimation of Spectral Exponent Parameter of Process in Additive White Background Noise

... flicker noise). Note that if one assumes the fit error as Gaussian dis- tributed, the line fit in the least-square sense corresponds to a maximum likelihood estimation which means that the pro- posed line ...

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Removal of Gaussian Impulsive Noise from Computed Tomography

Removal of Gaussian Impulsive Noise from Computed Tomography

... As noise is unavoidable in image, main objective of this paper is to remove ...that noise produced by low dose, noise removal algorithm has been ...both Gaussian and Impulsive noise, ...

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Hyperreality and the dominance of the image in White Noise

Hyperreality and the dominance of the image in White Noise

... photographed barn in America’ Murray Siskind takes Jack Gladney to we see that signs and symbols have replaced reality and we are firmly in the realm of the simulac[r] ...

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White-noise studies in the fly lamina

White-noise studies in the fly lamina

... The representation is then written: r = FA,B The response consists of a constant component, linear components caused by centre and surround, self-quadratic components caused by centre an[r] ...

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Numerical simulation of a linear stochastic oscillator with additive noise

Numerical simulation of a linear stochastic oscillator with additive noise

... with additive noise has been de- veloped in ...with additive noise is shown to have good mean- square error propagation over time intervals [0, T ], provided that T ∆t 2 is ...

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Improved energy detector for random signals in Gaussian noise

Improved energy detector for random signals in Gaussian noise

... [11] Y. Chen and N. C. Beaulieu, “Performance of collaborative spectrum sensing for cognitive radio in the presence of Gaussian channel estima- tion errors,” IEEE Trans. Commun. , vol. 57, pp. 1944-1947, July ...

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